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Overeaters Anonymous (OA) is a twelve-step program founded by Rozanne S. [1] Its first meeting was held in Hollywood, California, USA on January 19, 1960, after Rozanne attended a Gamblers Anonymous meeting and realized that the Twelve Steps could potentially help her with her own addictive behaviors relating to food. [1]
This is a list of Wikipedia articles about specific twelve-step recovery programs and fellowships. These programs, and the groups of people who follow them, are based on the set of guiding principles for recovery from addictive , compulsive , or other behavioral problems originally developed by Alcoholics Anonymous . [ 1 ]
Twelve-step methods have been adapted to address a wide range of alcoholism, substance abuse, and dependency problems. Over 200 mutual aid organizations—often known as fellowships—with a worldwide membership of millions have adopted and adapted AA’s 12 Steps and 12 Traditions for recovery.
The examples above are problems in which the data-flow value is a set, e.g. the set of reaching definitions (Using a bit for a definition position in the program), or the set of live variables. These sets can be represented efficiently as bit vectors , in which each bit represents set membership of one particular element.
Problems that involve many governing factors, where most of them cannot be expressed numerically can be well suited for morphological analysis. The conventional approach is to break a complex system into parts, isolate the parts (dropping the 'trivial' elements) whose contributions are critical to the output and solve the simplified system for ...
The step detection problem occurs in multiple scientific and engineering contexts, for example in statistical process control [1] (the control chart being the most directly related method), in exploration geophysics (where the problem is to segment a well-log recording into stratigraphic zones [2]), in genetics (the problem of separating ...
The problem for graphs is NP-complete if the edge lengths are assumed integers. The problem for points on the plane is NP-complete with the discretized Euclidean metric and rectilinear metric. The problem is known to be NP-hard with the (non-discretized) Euclidean metric. [3]: ND22, ND23
Following is a step by step description of the algorithm execution for a small example graph. The source vertex is the vertex A and the radius of every vertex is equal to 1. At the beginning of the algorithm, all vertices except for the source vertex A have infinite tentative distances, denoted by δ {\displaystyle \delta } in the pseudocode.